QEEG-guided NF

Research Papers

Predictors of Neurofeedback Outcomes Following qEEG Individualized Protocols for Anxiety

Gregory, J. Claire, Romero, Devon, Jones, Mark (2020) · NeuroRegulation

In this retrospective study, researchers examined effects of quantitative electroencephalography (qEEG), individualized neurofeedback treatment protocols for anxiety. The present study includes 52 clients with 53.8% (n = 28) self-reporting as male and included two time points (pre and post). Secondary analyses utilized a subset of client data (n = 21) with measurements from three time points (pre, post, and follow-up). All clients completed qEEG and self-report assessments. Clients agreed to attend a minimum of 15 biweekly sessions, for one academic semester. Findings from regression analyses revealed three predictors of posttreatment outcomes. In addition, analysis of a subsample of data assessed at three time points revealed statistically significant improvement from pre to post and sustained outcomes from post to follow-up. We discuss limitations and implications for future research.

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When Discussing Neurofeedback, Does Modality Matter?

Krigbaum, Genomary, Wigton, Nancy L. (2014) · NeuroRegulation

Over the years, several new models and variations of neurofeedback (NF) have been developed. As such, NF has grown from traditional amplitude based modalities to now include slow cortical potential NF, as well as various approaches grounded in QEEG technology, including z-score NF models. These differing modalities have important implications in terms of outcomes, the number of sessions required, and treatment specificity. This, in turn, impacts clinical practice, research, and marketing considerations. In an effort to gain some perspective for where the field is today, a comparative review is presented to illustrate the importance of noting what particular modality is being referenced when discussing NF.

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